一种基于结构分类和图形匹配的指纹识别方法

Recognition approach of fingerprint based on structural classification and graphical matching

提出了一种新的确定指纹中心点的方法。根据中心点的位置,通过结构分类的方法对指纹进行分类,接着采用了图形匹配的方法进行匹配,提出了中心点二次定位的匹配方法,结合模糊判别的方法提出新的复合指纹匹配方法。其中包括提出了根据指纹特征进行指纹的二次定位。文中对1 000幅指纹图像(包含20%的低质量指纹图像)做了实验,分类正确率达100%,匹配正确率达98. 7%。

A new approach to finding the core point of fingerprint was given. Based on the location of core point, fingerprint images were classified by using structural classification and were matched by using graphical matching. The core point method was combined with neighborhood matching approach and a new compound matching approach based on fuzzy discrimination was presented. In this approach, core point seeking once more based on the characteristics of fingerprint images was presented. Experiments were done on 1000 fingerprint images (20 percent of the images of low quality). 100 percent of the images were classified rightly and 98.7 percent of the images were matched rightly.